Staff/Senior Data Scientist (Risk & Fraud), Algorithm
As a Staff/Senior Data Scientist (Risk & Fraud), Algorithm, you will be instrumental in tackling challenging machine learning problems within the international payment risk domain, developing industry-leading model systems. You will implement end-to-end ML solutions, covering data engineering, feature engineering, model training, and deployment, to deliver significant business impact. This role involves analyzing business requirements, identifying issues, and developing ML platforms to streamline workflows while collaborating with cross-functional teams.
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You’re humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
The risk platform team at Airwallex is responsible for managing the risk for all the products at Airwallex, including GTPN, Payment, Issuing, Onboarding, and Account takeover. The risk landscape is constantly changing, and fraudsters are becoming increasingly sophisticated. We are at the forefront of innovation in risk management.
As a Senior Machine Learning engineer, you will tackle challenging machine learning problems in the international payment risk domain and help build industry-leading model systems. You will be responsible for implementing end-to-end ML solutions to address real business challenges and will be accountable for delivering business impact.
This role is based in “Singapore”.
We’re looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Posted June 9, 2026